The Study on Negative Network Public Opinion Warning for Listed Companies

Abstract

The network public opinions of listed companies have grown rapidly, which leads to the company's share price fell, damage the benefit of shareholders and so on. Therefore, building an effective early-warning system of the network public opinion of listed companies is important. This paper analyzes the evolution of the network public opinion event, clarify the definition of the network public opinion of listed company and the theory related to early-warning, then takes the listed company in Public Opinion List of 2017 as research subject to determine the index system. At last, the paper builds a system of negative network public opinion of listed companies based on BP neural network. Because of the establishment of the early-warning model, business managers will be able to take effective measures to avoid or reduce the damage of the crisis.